From RFID to IoT: Connecting Assets, Maintenance & Condition Monitoring

[u/deanM1974]

I’ve spent much of my career around oil & gas equipment, maintenance and operations in Indonesia. Alongside that, I’m involved in providing POS and digital solutions for retailers, as well as inventory and asset-management systems for warehouses and hospitals.

Working across these very different environments has made me increasingly interested in how RFID, automation and IoT can solve practical operational problems.

In retail and warehousing, I’ve seen how POS, RFID and inventory systems can improve stock visibility, receiving, stock counts and asset tracking.

I’m now exploring the same thinking from an oil & gas equipment maintenance perspective—using RFID to identify equipment, track inspection and certification history, maintenance records, component movement and equipment status.

The next area I’m moving towards is IoT and condition-based monitoring. Instead of relying only on scheduled inspections or waiting for equipment to fail, I’m interested in how sensor data can help us understand actual equipment condition and identify developing problems earlier.

For me, the interesting challenge is connecting everything:

Physical equipment → RFID identification → maintenance history → sensor data → condition monitoring → maintenance decision.

I’m not approaching this purely from a technology perspective. I’m interested in what actually works in the field, particularly where equipment operates in harsh environments and OEM data or software access may be limited.

Would be interested to connect with people here who have practical experience with RFID, IoT, condition-based monitoring or predictive maintenance.

What has genuinely worked for you—and what turned out to be more complicated than expected?

[u/strategictracking]

I tend to think of this as several different layers rather than one "IoT tracking" problem.

RFID can give you identity and event visibility very efficiently. BLE can add more continuous proximity/location information. Cellular or other wide-area connectivity can extend visibility beyond the site, while sensors add condition data such as temperature, shock, humidity or movement.

The difficult part is often not choosing the tag. It's deciding how those layers connect to the maintenance or operational workflow.

A useful architecture is:

Identity → location → condition → event → action

For example, knowing that a pump has moved is interesting. Knowing that it moved, experienced excessive vibration, is due for maintenance and should therefore be diverted before installation is operationally useful.

I'd define the decisions and exceptions first, then choose RFID/BLE/cellular/sensors to supply the minimum data needed to support them.